agentleFS
adampoitadampoit/ai/skills/ddgr/SKILL.md

ddgr

Skill2 starsChanged 13 days agoMITView on GitHub

Search the web with DuckDuckGo using the `ddgr` CLI. Use when the user asks to look something up online, verify facts, or gather source links.

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Search the web from the terminal with ddgr.

    line 8
  2. Distinctive:

    Search with region targeting:

    line 22
  3. Very specific:

    If --json is not supported by the installed ddgr version, use plain output:

    line 38

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Ddgr

Search the web from the terminal with ddgr.

ddgr --noprompt --noua --json --num 10 "query terms"

Search Web

Preferred command (machine-readable JSON):

ddgr --noprompt --noua --json --num 10 "query terms"

Search with region targeting:

ddgr --noprompt --noua --json --num 10 -r us-en "query terms"

Common options:

  • --json: Return JSON results for deterministic parsing
  • --num <N>: Maximum number of results
  • -r <region>: Region code such as us-en or gb-en
  • --noprompt: Non-interactive mode
  • --noua: Disable random user-agent behavior

Fallback

If --json is not supported by the installed ddgr version, use plain output:

ddgr --noprompt --noua --num 10 "query terms"

Summarize results with title, URL, and snippet for each entry.

Download now (ZIP)

Does it work?

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.